AutoPhi V18-Achievement -- Peak Series #676
258cecac20e72888885927eb0b2db418a5ae40ab0a2fdab2ec699d5b29eabc69
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
Downloads immediately on checkout — the CD GDSII Generator (AES-256 encrypted). Open with 7-Zip, WinRAR, or macOS Archive Utility using password CRIONE99KEY. Founder Access Pass credit (code FAP99CREDIT) applies at checkout.
AutoPhi V18 Peak 676 - Peta-class Quantum-Classical Hybrid Processor
AutoPhi V18 Peak 676: 30.45 PFLOPS Peta-class | 5nm | 130469 Qubits | Maximum single-die performance
Overview
The AutoPhi V18 Peak 676 is a peta-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 5nm process technology. It delivers 30.45 PFLOPS peak performance with 125.125 TOPS AI acceleration across a 816x816 voxel grid (665,856 total voxels) stacked 113 layers deep (7 stack units of 18). Quantum subsystem: 130,469 qubits at 98.641% fidelity (error rate <1.359%) with 32,969 QEC-protected logical qubits. Clocked at 5.541 GHz with 286.39 TB/s memory bandwidth over 168 nanophotonic channels. Neuromorphic engine: 1.1M spiking neurons for event-driven AI processing. Power envelope: 7.6 W with 83% reduction vs 130nm baseline. Integrates 8/9 AutoPhi core technologies. Three-chromosome DNA encoding: 133-bit electron strand, 17 quantum instructions (atomic strand), 12 photon opcodes (light strand). Light-trigger initiated.
Performance Specifications
| Performance Class | Peta-class |
| Peak FLOPS | 30.45 PFLOPS |
| AI Acceleration (TOPS) | 125.125 |
| Clock Speed | 5.541 GHz |
| Process Node | 5nm |
| Node Performance vs 130nm | 50.0x |
| Voxel Grid | 816x816 (665856 voxels) |
| Stack Layers | 113 layers / 7 units of 18 |
| Memory Bandwidth | 286.39 TB/s |
| Nanophotonic Channels | 168 |
| TSVs/mm2 | 2715 |
| Power Envelope | 7.6 W |
| Power Reduction vs 130nm | 83% |
| Area Reduction vs 130nm | 88% |
| Compute Role | CPU + full-GPU + DPU |
Quantum Subsystem
| Physical Qubits | 130469 |
| Logical Qubits (QEC) | 32969 |
| Fidelity | 98.641% |
| Error Rate | <1.359% |
Neuromorphic & AI
| Neuromorphic Neurons | 1.1M |
| TOPS | 125.125 |
| Thermal Zones | 22 |
18-Seed Voxel DNA Architecture
- Electron Chromosome: 133-bit instruction width
- Atomic Chromosome: 17 quantum gate types
- Photon Chromosome: 12 optical opcodes
- Light Trigger: Single-photon computation initiation
- Encoding: DNA-style compact replicable 3-strand chromosomes
9 Core Technologies (8/9 Active)
- LED Power Recycling: Yes (eff: 90.0%)
- Vertical Threading: Yes
- Chiplet Stacking: Yes
- Nanophotonic Data Flow: Yes
- Quantum Error Correction: Yes
- Electromagnetic Cooling: Yes (eff: 87.8%)
- Quantum Battery Layers: Yes (10 layers)
- Quantum-Classical Hybrid: Yes
- Neuromorphic AI Engine: No
Valuation & Pricing (AES)
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS | $2.76M |
| AES Sell Price | $9.20M |
| Gross Margin | 70% |
| 5-Year Revenue Projection | $275.96M |
| ROI | 233%% |
Foundry Handoff
| Foundry | TSMC N5 / Samsung 5LPE |
| PDK | 5nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) + EUV |
| Status | Architecture Ready -- Awaiting 5nm NDA/PDK |
| RTL Files | autophi_light_cpu_core.v; autophi_quantum_cpu_core.v; autophi_hybrid_cpu_top.v |
Submission Steps: 1. Obtain TSMC N5 or Samsung 5LPE PDK under NDA. 2. Synthesize -> P&R with EUV-aware flow. 3. DRC/LVS with foundry decks. 4. Package per FOUNDRY_STANDARDS.md. 5. Submit via foundry portal.
Deliverables: GDSII (mask layout); LEF (library exchange); DEF (design exchange); Gate-level netlist (Verilog); DRC report; LVS report; FOUNDRY_HANDOFF_SIMPLE.txt; RTL (autophi_light_cpu_core.v + autophi_quantum_cpu_core.v + autophi_hybrid_cpu_top.v); Synthesis scripts; P&R configurations; Manufacturing documentation; Performance projections
Competitive Position
30.8x NVIDIA H100 FLOPS | 73.4x H100 memory BW | +quantum +photonic +neuromorphic
FLOPS vs H100: 30.7540x | BW vs H100: 73.4339x
Target Market
High-performance computing nodes; large-scale AI inference; climate modeling
Recommended Applications
Full AI model training; protein folding; nuclear simulation; real-time fraud detection at scale
Warranty & Support
5-year premium; 24x7 support; dedicated engineer
Patent Protection & Intellectual Property
| Patent Status | Patent Pending — AutoPhi Architecture (all novel elements) |
| LED Recycle-Powered System | Patents 3561, 2876, 1026 |
| Electromagnetic Cooling System | Patents 1096, 1097, 1098 |
| 18-Seed Voxel DNA Architecture | Patent Pending |
| Photon Chromosome Encoding | Patent Pending |
| Quantum-Classical Hybrid Integration | Patent Pending |
| IP Owner | Christopher Gabriel Brown / AutoPhi / CRI-ONE |
| Patent Lineage | 96-333 deposition catalog (1755+ filings) |
All architectural elements, voxel designs, chromosome encodings, and integration methods are protected intellectual property. Unauthorized reproduction, reverse engineering, or derivative works are prohibited.
Intent to Profit & Commercial Terms
| Commercial Intent | This product is offered for commercial sale with intent to profit |
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS (Actual Cost) | $2.76M |
| AES Sell Price | $9.20M |
| Gross Margin | 70% |
| 5-Year Revenue Projection | $275.96M |
| ROI | 233%% |
| Licensing Model | Per-unit sale; contact for volume licensing, OEM, or foundry partnership terms |
| Distribution Rights | Buyer receives design files + foundry handoff package. No resale without written agreement. |
| Monopoly Prevention | Maximum 10 units per buyer per tier to ensure market access |
Seller: Christopher Gabriel Brown / AutoPhi / CRI-ONE
Contact for licensing, OEM, or volume terms: cri-one.com/store/contact
